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First 1409 results for ” Manuel Leiva”

1. Effect analysis of transient scenarios for successful water management strategies

   Recent scenario studies on water management focus on one or two projection years and the effects ...

   M Haasnoot, H Middelkoop, W van Deursen, E van Beek, J Beersma | Conference: NCR-days 2008; 10 years NCR | Organisation: Netherlands Centre for River Studies | Place: Dalfsen, Netherlands | Year: 2008 | First page: 36 | Last page: 37

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2. Managing Dynamic User Communities in a Grid of Autonomous Resources

   One of the fundamental concepts in Grid computing is the creation of Virtual Organizations (VO's)...

   R Alfieri, R Cecchini, C Ciaschini, A Gianoli, F Spataro, F Bonnassieux, P Broadfoot, G Lowe, G Cornwall, J Jensen, D Kelsey, A Frohner, DL Groep, WJ Som de Cerff, M Steenbakkers | Conference: 2003 Computing in High Energy and Nuclear Physics (CHEP03) | Organisation: CHEP03 | Place: La Jolla, Ca, USA | First page: 0 | Last page: 0

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3. Stewardship Maturity Assessment Tools for Modernization of Climate Data Management

   High quality and well-managed climate data are the cornerstone of all climate services. Consisten...

   R Dunn, C Lief, G Peng, W Wright, O Baddour, M Donat, B Dubuisson, J Legeais, P Siegmund, R Silveira, X Wang, M Ziese | Status: published | Journal: Data Science Journal | Volume: 20 | Year: 2021 | First page: 7 | doi: http://doi.org/10.5334/dsj-2021-007

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4. Towards FAIR paleomagnetic data management through Paleomagnetism.org 2.0

   Scientific communities are placing an increasing emphasis on the implementation of data managemen...

   MR Koymans, DJJ van Hinsbergen, D Pastor-Galán, B Vaes, CG Langereis | Status: published | Journal: Geochemistry, Geophysics, Geosystems | Volume: 21 | Year: 2020 | doi: 10.1029/2019GC008838

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5. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

   Modern interactive tools for data analysis and visualisation are designed to expose their functio...

   Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

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